AI model comparison
Ling 3.0 Flash VL vs DeepSeek V4.1 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual
- Input / 1M
- $0.06
- Output / 1M
- $0.18
- Context
- 131K
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Ling 3.0 Flash VL
2.9x cheaper for a typical chat
Higher intelligence score
DeepSeek V4.1 Flash
24.7 vs 24.6 on Artificial Analysis
Larger context window
DeepSeek V4.1 Flash
1.05M vs 131K tokens
Newer release
Ling 3.0 Flash VL
Released September 10, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Ling 3.0 Flash VL vs DeepSeek V4.1 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.06 | $0.15 |
| Output tokensPer 1M tokens | $0.18 | $0.60 |
| Cached input (read)Per 1M tokens | $0.01 | $0.00 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 131K tokens | 1.05M tokens |
| Max output | 33K tokens | 393K tokens |
| Input types | Image, Text, Video | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Max, High, Low, None |
| Default reasoning effort | Not available | High |
| Release date | September 10, 2026 | September 10, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
Ling 3.0 Flash VL is 2.9x cheaper for a typical chat. DeepSeek V4.1 Flash scores higher on the Artificial Analysis Intelligence Index (24.7 vs 24.6). DeepSeek V4.1 Flash has the larger context window (1.05M vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Ling 3.0 Flash VL or DeepSeek V4.1 Flash cheaper?
Ling 3.0 Flash VL is cheaper for a typical chat (2K input tokens and 500 output tokens). Ling 3.0 Flash VL costs $0.06 per 1M input tokens and $0.18 per 1M output tokens, while DeepSeek V4.1 Flash costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, Ling 3.0 Flash VL or DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash supports up to 1.05M tokens of context, compared with 131K for Ling 3.0 Flash VL.
Is Ling 3.0 Flash VL smarter than DeepSeek V4.1 Flash?
On the Artificial Analysis Intelligence Index, Ling 3.0 Flash VL scores 24.6 and DeepSeek V4.1 Flash scores 24.7, putting DeepSeek V4.1 Flash ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Ling 3.0 Flash VL and DeepSeek V4.1 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Ling 3.0 Flash VL and DeepSeek V4.1 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Ling 3.0 Flash VL and DeepSeek V4.1 Flash at the same time. Compare the answers side by side and keep the best one.